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Showing 16 to 30 of 55 results Save | Export
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Fields, Deborah A.; Kafai, Yasmin B.; Morales-Navarro, Luis; Walker, Justice T. – British Journal of Educational Technology, 2021
Much attention in constructionism has focused on designing tools and activities that support learners in designing fully finished and functional applications and artefacts to be shared with others. But helping students learn to debug their applications often takes on a surprisingly more instructionist stance by giving them checklists, teaching…
Descriptors: High School Students, Design, Programming, Textiles Instruction
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Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
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Yi Jin; Jason R. Harron – International Journal of Computer Science Education in Schools, 2023
Computer science (CS) has become a critical part of K-12 education worldwide. Computational thinking (CT) skills are a key set of competencies in CS education that can solve problems and use computational design to create useful solutions. However, preservice and in-service teachers are not fully prepared to integrate CS and CT into their…
Descriptors: Teacher Attitudes, Computation, Thinking Skills, Computer Science Education
Samim Mirhosseini – ProQuest LLC, 2023
Computer science instructors typically have many responsibilities, such as creating material, delivering lectures, clarifying student questions, and grading student deliverables, while the demand for computer science education has been increasing. Handling all of these responsibilities is challenging in itself. However, it is made worse when…
Descriptors: Computer Science Education, Teacher Responsibility, Faculty Workload, Instructional Materials
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Lachney, Michael; Yadav, Aman; Drazin, Matt; Allen, Madison C.; Babbitt, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Despite the value that cultural experts bring to efforts to broaden the participation of racially minoritized youth in US computer science, there has been little research on supporting their knowledge of computing. This is a missed opportunity to explore the diffusion of computing knowledge across local community contexts where underrepresented…
Descriptors: Culturally Relevant Education, Computer Science Education, Community Education, Expertise
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Merve Aydin; Ünal Çakiroglu – Journal of Computer Assisted Learning, 2025
Background: Students experience higher-order thinking skills by finding ways to solve the problem, debugging errors while applying the solution, and testing the solution in programming. However, the inability to create schemas that will characterise programming structures is one of the difficulties during this process. Objectives: This study aimed…
Descriptors: Programming, Computer Science Education, Thinking Skills, Problem Solving
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Zeng, Mini; Zhu, Feng – Journal of Cybersecurity Education, Research and Practice, 2021
Software vulnerabilities have become a severe cybersecurity issue. There are numerous resources of industry best practices available, but it is still challenging to effectively teach secure coding practices. The resources are not designed for classroom usage because the amount of information is overwhelming for students. There are efforts in…
Descriptors: Computer Software, Coding, Computer Security, Computer Science Education
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Zhanxia Yang; Marina Bers – Computer Science Education, 2024
Background and Context: Historically, women have been underrepresented in computer science. To address this gender gap, researchers advocate for high-quality computer science programs for early childhood. Objectives: This study examines gender differences in coding performance before and after implementing a 24-lesson visual programming curriculum…
Descriptors: Gender Differences, Grade 1, Elementary School Students, Programming
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Fuentes, Pablo; Camarero, Cristobal; Herreros, David; Mateev, Vladimir; Vallejo, Fernando; Martinez, Carmen – IEEE Transactions on Learning Technologies, 2022
Understanding the architecture of a processor can be uninteresting and deterring for computer science students, since low-level details of computer architecture are often perceived to lack real-world impact. These courses typically have a strong practical component where students learn the fundamentals of the computer architecture and the handling…
Descriptors: Computer Science Education, Computer System Design, Programming Languages, Fatigue (Biology)
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Dahn, Maggie; DeLiema, David; Enyedy, Noel – Teachers College Record, 2020
Background/Context: Computer science has been making its way into K-12 education for some time now. As computer science education has moved into learning spaces, research has focused on teaching computer science skills and principles but has not sufficiently explored the emotional aspects of students' experiences. This topic warrants further study…
Descriptors: Computer Science Education, Coding, Programming, Student Experience
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Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
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Socratous, Chrysanthos; Ioannou, Andri – Educational Technology Research and Development, 2021
The study aims to compare the effect of a structured versus an unstructured educational robotics (ER) curriculum on (a) the frequency and type of programming errors made by students in block-based programming, (b) their ability to debug a programme, and (c) their engagement in the learning process. The authors' hypothesis is that, in programming…
Descriptors: Robotics, Educational Technology, Programming Languages, Computer Science Education
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Gillott, Lauren; Joyce-Gibbons, Andrew; Hidson, Elizabeth – International Journal of Computer Science Education in Schools, 2020
This study compares computational thinking skills evidenced by two groups of students in two different secondary schools: one group per school was studying a qualification in Computer Science. The aim was to establish which elements of computational thinking were more prevalent in students studying Computer Science to a higher level. This in turn…
Descriptors: Computation, Thinking Skills, Computer Science Education, Exit Examinations
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Ng, Oi-Lam; Cui, Zhihao – ZDM: Mathematics Education, 2021
This paper reports on a design-based study within the context of a 3-day "digital making" (DM) summer camp attended by a group of students (aged 11-13) in grades 5 and 6. During the camp, students were presented with a set of mathematical problems to solve in a block-based programming environment, which was connected to various physical…
Descriptors: Elementary School Students, Problem Solving, Mathematics Education, Mathematical Models
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Fields, Deborah; Lui, Debora; Kafai, Yasmin; Jayathirtha, Gayithri; Walker, Justice; Shaw, Mia – Computer Science Education, 2021
Background and Context: While assessment of computational thinking concepts, practices, and perspectives is at the forefront of K-12 CS education, supporting student "communication about computation" has received relatively little attention. Objective: To examine the usability of process-based portfolios for capturing students'…
Descriptors: Computer Science Education, Computation, Thinking Skills, Student Projects
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